Published online Aug 28, 2017. doi: 10.3748/wjg.v23.i32.5936
Peer-review started: May 26, 2017
First decision: June 23, 2017
Revised: July 5, 2017
Accepted: August 8, 2017
Article in press: August 8, 2017
Published online: August 28, 2017
Processing time: 95 Days and 20.1 Hours
To evaluate a novel grading system to predict lymph node metastasis (LNM) in patients with submucosal invasive colorectal carcinoma (SICRC).
We analyzed the associations between LNM and various clinicopathological features in 252 patients with SICRC who had undergone radical surgery at the Seoul Saint Mary’s hospital between 2000 and 2015.
LNM was observed in 31 patients (12.3%). The depth and width of the submucosal invasion, lymphatic invasion, tumor budding, and the presence of poorly differentiated clusters (PDCs) were significantly associated with the incidence of LNM. Using multivariate analysis, the receiver operating characteristic curvewas calculated and the area under curve (AUC) was used to compare the ability of the different parameters to identify the risk of LNM. The most powerful clinicopathological parameter for predicting LNM was lymphatic invasion (difference AUC = 0.204), followed by the presence or absence of tumor budding (difference AUC = 0.190), presence of PDCs (difference AUC = 0.172) and tumor budding graded by the Ueno method (difference AUC = 0.128).
Our results indicate that the tumor budding and the depth multiplied by the width measurements of submucosal invasion can provide important information for patients with SICRC.
Core tip: The appropriacy of endoscopic resection for patients with submucosal invasive colorectal carcinoma (SICRC) is still questionable. Therefore, highly precise predictors of lymph node metastasis (LNM) are needed to optimize the outcome of treatments for SICRC. We determined the value of a novel grading system based on histopatholological parameters to predict LNM in patients with SICRC. Our results indicate that the presence or absence of tumor budding and the depth multiplied by the width measurements of the submucosal invasion can provide important information regarding the treatment options for patients with SICRC.